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We present a fully automated three-dimensional model-based, real-time capable approach to distinguish six universal facial expressions from visual images of human faces. The face model is fitted to the images of a publicly available data base. From the model parameters two sets of features are computed, person-specific and non-person-specific to estimate the facial expression visible in the current...
Efficient and accurate localization of the components of human faces, such as skin, lips, eyes, and brows, provides benefit to various real-world applications. However, high intra-class and small inter-class variations in color prevent simple but quick pixel classifiers from yielding robust results. In contrast, more elaborate classifiers consider shape or region features but they do not achieve real-time...
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